Supported Regions and Quotas - Amazon SageMaker

Supported Regions and Quotas

For the AWS Regions supported by Amazon SageMaker and the Amazon Elastic Compute Cloud (Amazon EC2) instance types that are available in each Region, see Amazon SageMaker Pricing.

For a list of the SageMaker service endpoints for each Region and the SageMaker service quotas for each instance type, see Amazon SageMaker endpoints and quotas.


The following SageMaker features aren't available in the Asia Pacific (Osaka) Region:

  • Amazon SageMaker Autopilot

  • Clarify

  • SageMaker Edge Manager

  • Ground Truth

  • Hyperparameter tuning (HPO)

  • Amazon SageMaker Inference Recommender

  • JumpStart

  • Amazon SageMaker Model Monitor

  • Reinforcement learning

Amazon SageMaker Studio is available in all the AWS Regions supported by Amazon SageMaker except the AWS GovCloud (US) Regions. In the supported Regions, Studio is available in the same Availability Zones as notebook instances.

RStudio on Amazon SageMaker is available in the following AWS Regions supported by Amazon SageMaker.

  • ap-northeast-1

  • ap-northeast-2

  • ap-south-1

  • ap-southeast-1

  • ap-southeast-2

  • ca-central-1

  • eu-central-1

  • eu-north-1

  • eu-west-1

  • eu-west-2

  • eu-west-3

  • sa-east-1

  • us-east-1

  • us-east-2

  • us-west-1

  • us-west-2

Amazon SageMaker Pipelines is available in all the AWS Regions supported by AWS except the AWS GovCloud (US) Regions. SageMaker Projects is available in the AWS regions where CodePipeline is available. For more information about CodePipeline region availability, see the AWS Regional Services List.

For the Availability Zones supported by SageMaker, see Availability Zones.

About service quotas

Depending on your activities and resource usage over time, your SageMaker quotas might be different from the default SageMaker quotas listed on Amazon SageMaker endpoints and quotas in the AWS General Reference. If you encounter error messages that you've exceeded your quota and you need to scale up your SageMaker resources, follow the steps in the Request a service quota increase for SageMaker resources procedure on this page to request a quota increase from AWS Support. The SageMaker service team reviews and evaluates requests on case-by-case basis. For additional information, see How do I resolve the ResourceLimitExceeded error in Amazon SageMaker? in the AWS Support Knowledge Center and AWS Service Quotas in the AWS General Reference.

Request a service quota increase for SageMaker resources

Follow the steps in this procedure to request a quota (also known as limit) increase for SageMaker resources.

To request a service quota increase

  1. Sign in to the AWS Support console at AWS Support Center.

  2. In the left navigation pane, choose Your support cases, and then choose Create case.

  3. For Limit type in the Case details section, choose the specific SageMaker component.

  4. For Request 1 in the Requests section, choose Region, Resource Type, and Limit for a resource which you want to increase the quota.

  5. For New limit value, type an integer value for a new quota.

  6. For Case description, include the following items:

    1. The error message showing the current quota. For example, the error message should look like the following:

      ResourceLimitExceeded: An error occurred (ResourceLimitExceeded) when calling the CreateTrainingJob operation: The account-level service limit 'ml.p3dn.24xlarge for training job usage' is 0 Instances, with current utilization of 0 Instances and a request delta of 1 Instances. Please contact AWS support to request an increase for this limit.
    2. A brief description of your use case that requires the service quota increase.

  7. If you want to add more quota increase requests for other resources, choose Add another request and repeat the previous steps.

  8. Choose Submit to finish the request.